2 citations · 4 across the 4 of their papers we have counts for
4 papers
Effective Feature Learning with Unsupervised Learning for Improving the Predictive Models in Massive Open Online Courses
Mucong Ding, Kai Yang, Dit-Yan Yeung +1
The effectiveness of learning in massive open online courses (MOOCs) can be significantly enhanced by introducing personalized intervention schemes which rely on building predictiv…
Transfer Learning using Representation Learning in Massive Open Online Courses
Mucong Ding, Yanbang Wang, Erik Hemberg +1
In a Massive Open Online Course (MOOC), predictive models of student behavior can support multiple aspects of learning, including instructor feedback and timely intervention. Ongoi…
First-passage time distribution for random walks on complex networks using inverse Laplace transform and mean-field approximation
Mucong Ding, Kwok Yip Szeto
We obtain an exact formula for the first-passage time probability distribution for random walks on complex networks using inverse Laplace transform. We write the formula as the sum…
Selection of Random Walkers that Optimizes the Global Mean First-Passage Time for Search in Complex Networks
Mucong Ding, Kwok Yip Szeto
We design a method to optimize the global mean first-passage time (GMFPT) of multiple random walkers searching in complex networks for a general target, without specifying the prop…